Unstably controlled systolic blood pressure trajectories are associated with markers for kidney damage in prediabetic population: results from the INDEED cohort study

• Published in: Journal of translational medicine Vol. 18; no. 1; pp. 194 - 10
• Main Authors: Sun, Zi-Jun, Wang, Jin-Wei, Chang, Dong-Yuan, Chen, Shuo-Hua, Zhang, Hui-Fen, Wu, Shou-Ling, He, Kevin, Zhang, Lu-Xia, Chen, Min, Zhao, Ming-Hui
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 12.05.2020; BioMed Central; BMC
• Subjects: Acids; Albumin; Analysis; Blood glucose; Blood Pressure; Cohort analysis; Cohort Studies; Creatinine; Diabetes; Diabetes mellitus; Education; Epidermal growth factor receptors; Estimated glomerular filtration rate; Glomerular Filtration Rate; Glucose; Glycoproteins; Hospitals; Humans; Hypertension; Kidney; Kidney damage; Kidney diseases; Laboratories; Middle schools; Population; Prediabetes; Prediabetic state; Prediabetic State - complications; Prediabetic State - epidemiology; Prognosis; Proteins; Questionnaires; Regression analysis; Risk Factors; Studies; Trajectory; Transferrins; Variables; United States > US; China; Japan; Blood pressure; Kidney damage; Trajectory; Prediabetes; Estimated glomerular filtration rate
• ISSN: 1479-5876; 1479-5876
• DOI: 10.1186/s12967-020-02361-5

The association between blood pressure change and kidney damage in patients with abnormal blood glucose remains unclear. The current study aimed to identify systolic blood pressure (SBP) trajectories among the prediabetic population and to determine their association with kidney damage after a long-term follow-up. The incidence, development, and prognosis of diabetic kidney disease (INDEED) study is nested in the Kailuan cohort study with a focus on population with diabetes and prediabetes. We screened out people with prediabetes in 2006 and with more than three SBP records from 2006 to 2014 biennially. We used the latent mixture modeling to fit five groups of trajectories of SBP. In 2016, estimated glomerular filtration rate (eGFR), urinary albumin creatinine ratio (uACR), and urinary α1-microglobulin (α1MG), transferrin and α1-acid glycoprotein were measured, and the association between SBP trajectories and these markers was analyzed by linear regression and logistic regression models. Totally, 1451 participants with prediabetes and without kidney damage were identified in 2006. Five heterogeneous SBP trajectories were detected based on the longitudinal data from 2006 to 2014, as low-stable group (n = 323), moderate-stable group (n = 726), moderate-increasing group (n = 176), moderate-decreasing group (n = 181), and high-stable group (n = 45). Linear regression analysis showed that the moderate and high SBP groups had lower eGFR, higher uACR, higher urinary α1MG, higher transferrin, and higher α1-acid glycoprotein than the low-stable group. Multivariable analysis attenuated the association but did not change the statistical significance. Prediabetic patients with persistent high-level SBP trajectory or gradually increased SBP trajectory had severer kidney damage during follow-up.